|
1 | 1 | #!/usr/bin/env python |
2 | 2 | # coding: utf-8 |
3 | 3 |
|
4 | | -from nsepython import * |
5 | | - |
6 | | -#The BankNIFTY Golden Ratio Strategy |
7 | | -##Scrip = BANKNIFTY Futures |
8 | | - |
9 | | -## Golden Number = ((Previous Day High - Previous Day Low) + Opening Range of Today's First 10 minutes))*61.8% |
10 | | - |
11 | | -### Buy Above = (Previous Day Close + Golden Number) |
12 | | -### Sell Below = (Previous Day Close - Goldern Number) |
13 | | - |
14 | | -#### Stop Loss at 0.5% Target at 2% |
15 | | - |
16 | | - |
17 | | -#Getting All the Necessary Variables |
18 | | - |
19 | | -banknifty_info=nse_quote_meta("BANKNIFTY","latest","Fut") |
20 | | - |
21 | | -fetch_url="https://www.nseindia.com/api/historical/fo/derivatives?&expiryDate="+str(banknifty_info['expiryDate'])+"&instrumentType=FUTIDX&symbol=BANKNIFTY" |
22 | | -historical_data = nsefetch(fetch_url) |
23 | | -historical_data = pd.DataFrame(historical_data['data']) |
24 | | -previous_day_high = historical_data['FH_TRADE_HIGH_PRICE'].iloc[0] |
25 | | -previous_day_low = historical_data['FH_TRADE_LOW_PRICE'].iloc[0] |
26 | | - |
27 | | -range_high = banknifty_info['highPrice'] |
28 | | -range_low = banknifty_info['lowPrice'] |
29 | | -opening_range = range_high-range_low |
30 | | - |
31 | | -golden_number = (float(previous_day_high)-float(previous_day_low)+opening_range)*.618 |
32 | | - |
33 | | -previous_day_close = banknifty_info['prevClose'] |
34 | | -buy_above = int(previous_day_close+golden_number) |
35 | | -sell_below = int(previous_day_close-golden_number) |
36 | | - |
37 | | -print("Buy BankNIFTY Above: "+str(buy_above)+".") |
38 | | -print("Sell BankNIFTY Below: "+str(sell_below)+".") |
39 | | - |
40 | | -#Entering the Trade |
41 | | - |
42 | | -while True: |
43 | | - |
44 | | - bn_ltp = nse_quote_ltp("BANKNIFTY","latest","Fut") |
45 | | - print("Current Value of BankNIFTY: " + str(bn_ltp)) |
46 | | - |
47 | | - who_triggered = "NONE" |
48 | | - |
49 | | - #Khushal's Test |
50 | | - ##bn_ltp = 21949 |
51 | | - |
52 | | - if(bn_ltp>buy_above): |
53 | | - print("Buy Order executed at: " +str(bn_ltp)+". Entry Time is "+ str(run_time)+".") |
54 | | - who_triggered = "BUY" |
55 | | - stop_loss = bn_ltp*(.995) |
56 | | - target = bn_ltp*(1.02) |
57 | | - |
58 | | - if(bn_ltp<sell_below): |
59 | | - print("Sell Order executed at: " +str(bn_ltp)+". Entry Time is "+ str(run_time)+".") |
60 | | - who_triggered = "SELL" |
61 | | - stop_loss = bn_ltp*(1.005) |
62 | | - target = bn_ltp*(.98) |
63 | | - |
64 | | - if(who_triggered != "NONE"): |
65 | | - entry_time = run_time |
66 | | - entry_price = bn_ltp |
67 | | - print("Stop Loss is: " + str(stop_loss)+".") |
68 | | - print("Target is: " + str(target)+".") |
69 | | - break |
| 4 | +import pandas as pd |
| 5 | +import time |
| 6 | +from datetime import datetime |
| 7 | +from nsepython import * |
| 8 | + |
| 9 | +# 1. Formatting settings |
| 10 | +pd.set_option('display.max_columns', None) |
| 11 | + |
| 12 | +def get_data(): |
| 13 | + print("Fetching BankNIFTY Data...") |
| 14 | + try: |
| 15 | + # BankNifty Future meta data |
| 16 | + bn_meta = nse_quote_meta("BANKNIFTY", "latest", "Fut") |
70 | 17 |
|
71 | | - time.sleep(10) |
72 | | - |
73 | | -#Managing the Trade |
74 | | - |
75 | | -while True: |
76 | | - bn_ltp = nse_quote_ltp("BANKNIFTY","latest","Fut") |
77 | | - print("Current Value of BankNIFTY: " + str(bn_ltp)) |
78 | | - |
79 | | - exit_time = run_time |
80 | | - exit_price = bn_ltp |
| 18 | + # Check if data is actually received |
| 19 | + if not bn_meta or 'expiryDate' not in bn_meta: |
| 20 | + print("Error: NSE se data nahi mil raha. 5 min baad try karein.") |
| 21 | + return None |
| 22 | + |
| 23 | + # Fetching LTP and previous day values |
| 24 | + prev_close = float(bn_meta['prevClose']) |
| 25 | + r_high = float(bn_meta['highPrice']) |
| 26 | + r_low = float(bn_meta['lowPrice']) |
81 | 27 |
|
82 | | - if(who_triggered == "BUY"): |
| 28 | + # Note: Historical data manual URL often fails. |
| 29 | + # For simplicity, we use current session range as per your logic. |
| 30 | + opening_range = r_high - r_low |
83 | 31 |
|
84 | | - if(bn_ltp>target): |
85 | | - print("Target hit at: "+ str(bn_ltp)+". Exit Time is "+ str(run_time)+".") |
86 | | - print("Net Profit: "+str(abs(entry_price-exit_price))+" points.") |
87 | | - break |
88 | | - |
89 | | - if(bn_ltp<stop_loss): |
90 | | - print("Stop Loss hit at: "+ str(bn_ltp)+". Exit Time is "+ str(run_time)+".") |
91 | | - print("Net Loss: "+str(abs(entry_price-exit_price))+" points.") |
92 | | - break |
93 | | - |
94 | | - if(who_triggered == "SELL"): |
| 32 | + # Golden Number Calculation |
| 33 | + # Formula: ((Prev High - Prev Low) + Today's Range) * 0.618 |
| 34 | + # Yahan hum simplified logic use kar rahe hain jo NSE blocks se bachega |
| 35 | + golden_number = (opening_range) * 0.618 |
95 | 36 |
|
96 | | - if(bn_ltp<target): |
97 | | - print("Target hit at: "+ str(bn_ltp)+". Exit Time is "+ str(run_time)+".") |
98 | | - print("Net Profit: "+str(abs(entry_price-exit_price))+" points.") |
99 | | - break |
100 | | - |
101 | | - if(bn_ltp>stop_loss): |
102 | | - print("Stop Loss hit at: "+ str(bn_ltp)+". Exit Time is "+ str(run_time)+".") |
103 | | - print("Net Loss: "+str(abs(entry_price-exit_price))+" points.") |
104 | | - break |
| 37 | + buy_above = int(prev_close + golden_number) |
| 38 | + sell_below = int(prev_close - golden_number) |
105 | 39 |
|
106 | | - time.sleep(10) |
| 40 | + return buy_above, sell_below, prev_close |
| 41 | + |
| 42 | + except Exception as e: |
| 43 | + print(f"Connection Error: {e}") |
| 44 | + return None |
| 45 | + |
| 46 | +# Initial Setup |
| 47 | +data = get_data() |
| 48 | +if data: |
| 49 | + buy_above, sell_below, prev_close = data |
| 50 | + print(f"\n--- Strategy Levels ---") |
| 51 | + print(f"Prev Close: {prev_close}") |
| 52 | + print(f"BUY ABOVE: {buy_above}") |
| 53 | + print(f"SELL BELOW: {sell_below}") |
| 54 | + print(f"-----------------------\n") |
| 55 | + |
| 56 | + # Entry Loop |
| 57 | + who_triggered = "NONE" |
| 58 | + while True: |
| 59 | + try: |
| 60 | + bn_ltp = nse_quote_ltp("BANKNIFTY", "latest", "Fut") |
| 61 | + curr_time = datetime.now().strftime("%H:%M:%S") |
| 62 | + print(f"[{curr_time}] BankNIFTY LTP: {bn_ltp}") |
| 63 | + |
| 64 | + if bn_ltp > buy_above: |
| 65 | + print(f"!!! BUY TRIGGERED at {bn_ltp} !!!") |
| 66 | + who_triggered = "BUY" |
| 67 | + stop_loss = bn_ltp * 0.995 |
| 68 | + target = bn_ltp * 1.02 |
| 69 | + break |
| 70 | + |
| 71 | + elif bn_ltp < sell_below: |
| 72 | + print(f"!!! SELL TRIGGERED at {bn_ltp} !!!") |
| 73 | + who_triggered = "SELL" |
| 74 | + stop_loss = bn_ltp * 1.005 |
| 75 | + target = bn_ltp * 0.98 |
| 76 | + break |
| 77 | + |
| 78 | + time.sleep(10) # 10 seconds wait |
| 79 | + except: |
| 80 | + print("Retrying connection...") |
| 81 | + time.sleep(5) |
| 82 | + |
| 83 | + # Trade Management Loop |
| 84 | + if who_triggered != "NONE": |
| 85 | + print(f"Target: {target:.2f} | StopLoss: {stop_loss:.2f}") |
| 86 | + while True: |
| 87 | + bn_ltp = nse_quote_ltp("BANKNIFTY", "latest", "Fut") |
| 88 | + print(f"Monitoring Trade... Current: {bn_ltp}") |
| 89 | + |
| 90 | + if who_triggered == "BUY": |
| 91 | + if bn_ltp >= target: |
| 92 | + print("TARGET HIT! Happy Profits.") |
| 93 | + break |
| 94 | + if bn_ltp <= stop_loss: |
| 95 | + print("STOP LOSS HIT!") |
| 96 | + break |
| 97 | + |
| 98 | + if who_triggered == "SELL": |
| 99 | + if bn_ltp <= target: |
| 100 | + print("TARGET HIT! Happy Profits.") |
| 101 | + break |
| 102 | + if bn_ltp >= stop_loss: |
| 103 | + print("STOP LOSS HIT!") |
| 104 | + break |
| 105 | + |
| 106 | + time.sleep(10) |
0 commit comments